Pyong-Kun Kim

400 citations
15 papers · 207 indexed · h-index 7
Topics
Video Surveillance and Tracking Methods (11 papers)Vehicle License Plate Recognition (4 papers)Advanced Neural Network Applications (4 papers)
Journals
IEEE AccessElectronicsThe Journal of Korean Institute of Communications and Information Sciences

In The Last Decade

Pyong-Kun Kim

14 papers receiving 189 citations

Peers

Pyong-Kun Kim
Comparison fields: 5 of 53
  • Computer Vision and Pattern Recognition 162
  • Media Technology 48
  • Automotive Engineering 33
  • Artificial Intelligence 33
  • Building and Construction 22
Replace Tsubasa Minematsu with:
Tsubasa Minematsu Japan
Vinh Dinh Nguyen South Korea
Qichang Hu Australia
Mourad A. Kenk Egypt
Yibing Zhao China
Zhongyuan Wu China
Oliver Zendel Austria
Markus Murschitz Austria
Jakub Špaňhel Czechia
Pyong-Kun Kim relative to Tsubasa Minematsu Japan Tsubasa Minematsu's profile →
Citations per field
00.5×1.6×
Tsubasa Minematsu · 1×
Citations per year

Countries citing papers authored by Pyong-Kun Kim

Since Specialization
Citations

This map shows the geographic impact of Pyong-Kun Kim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pyong-Kun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pyong-Kun Kim more than expected).

Fields of papers citing papers by Pyong-Kun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pyong-Kun Kim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pyong-Kun Kim. The network helps show where Pyong-Kun Kim may publish in the future.

Co-authorship network of co-authors of Pyong-Kun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Pyong-Kun Kim. A scholar is included among the top collaborators of Pyong-Kun Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pyong-Kun Kim. Pyong-Kun Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 3
2 0
3 1
4 22
5 13
6 12
7 2
8 3
9 1
10 2
11 59
12 9
13 41
14 1
15 38

About Pyong-Kun Kim

Pyong-Kun Kim is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Building and Construction, having authored 15 papers that have together received 207 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (11 papers), Vehicle License Plate Recognition (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (162 citations), Media Technology (48 citations) and Automotive Engineering (33 citations). Pyong-Kun Kim has collaborated with scholars based in South Korea, Taiwan and United States. Frequent co-authors include Kwang‐Ju Kim, Doo-Hyun Choi, Yun-Su Chung, Jenq–Neng Hwang, Chung‐I Huang, Jiacheng Sun, Zhongyu Jiang, You-Ze Cho, Soo In Lee and Haiqing Du. Their work appears in journals such as IEEE Access, Electronics and The Journal of Korean Institute of Communications and Information Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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